A new regression type estimator with two auxiliary variables for single-phase sampling

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dc.contributor.authorTum, Everline Chemutai
dc.contributor.authorKung’u, John
dc.contributor.authorOdongo, Leo
dc.date.accessioned2015-08-03T08:51:08Z
dc.date.available2015-08-03T08:51:08Z
dc.date.issued2014
dc.descriptionFull Articleen_US
dc.description.abstractIn this paper, we have proposed an estimator of finite population mean using a new regression type estimator with two auxiliary variables for single-phase sampling and investigated its finite sample properties. An empirical study has been carried out to compare the performance of the proposed estimator with the existing estimators that utilize auxiliary variables for finite population mean. It has been found that the new regression type estimator with two auxiliary variables for to be more efficient than mean per unit, ratio and product estimator and exponential ratio and exponential product estimators and exponential ratio-product estimatoren_US
dc.identifier.citationOpen Journal of Statistics, 2014, 4, 789-796en_US
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/13280
dc.language.isoenen_US
dc.publisherScientific Research Publishingen_US
dc.subjectMean Squared Erroren_US
dc.subjectAuxiliary Variablesen_US
dc.subjectExponential Ratio-Product Estimatoren_US
dc.subjectRegression Estimatoren_US
dc.titleA new regression type estimator with two auxiliary variables for single-phase samplingen_US
dc.typeArticleen_US
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